isin(self, values) -> 'npt.NDArray[np.bool_]'

Return a boolean NumPy Array showing whether each element in the Categorical matches an element in the passed sequence of :None:None:`values` exactly.

Parameters

values : set or list-like

The sequence of values to test. Passing in a single string will raise a TypeError . Instead, turn a single string into a list of one element.

Raises

TypeError

• If :None:None:`values` is not a set or list-like

Returns

np.ndarray[bool]

Check whether :None:None:`values` are contained in Categorical.

See Also

pandas.Series.isin

Equivalent method on Series.

Examples

This example is valid syntax, but we were not able to check execution

>>> s = pd.Categorical(['lama', 'cow', 'lama', 'beetle', 'lama',
...                'hippo'])
... s.isin(['cow', 'lama'])
array([ True,  True,  True, False,  True, False])

Passing a single string as s.isin('lama') will raise an error. Use a list of one element instead:

This example is valid syntax, but we were not able to check execution

>>> s.isin(['lama'])
array([ True, False,  True, False,  True, False])

See :

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File: /pandas/core/arrays/categorical.py#2434
type: <class 'function'>
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